change threshold value in predict for multi-label classification?

[lececefifi]

Hi - I am using the multilabel model classification, I have fine-tuned my models with different threshold values, and I would like to also be able to change the threshold value when I run predict function. I tried adding args to the function but no change is seen. Is this the right way or is there a different way to do this? Or this is not currently supported?

Thank you,
Cecilia

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution you'd like
A clear and concise description of what you want to happen.

Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.

Additional context
Add any other context or screenshots about the feature request here.

[lececefifi]

I have the same issue as this previous post, #252

I have tried setting it in the model.predict(),
model_args = {
"threshold": 0.70
}

I have also added the same when model is loaded,
model = MultiLabelClassificationModel(
model_type,
model_name,
args = model_args,
use_cuda=cuda_available,

can someone point me to the right direction as where I have missed? Thank you!